International Business Machines Corporation (Armonk, NY)

A typical operation would involve connecting to a blockchain system to process transactions through a plurality o endorsers connected to an orderer. The feedback controller gets reports from the ordering system that provide information about the effectiveness of the various endorsers. Based on these reports the feedback controller assigns ranking to the endorsers from the plurality and orders the transaction proposals to be completed using the plurality endorsers.

A central database stores and manages data in one single database (e.g. databases server) in one place. This usually involves a central computer such as a mainframecomputer, server CPU or the desktop central processing unit (CPU). The data stored in a centralized database can be accessed from multiple different points. Multiple users or client workstations can work simultaneously on the centralized database, for example, based on a client/serverconfiguration. A central database is simple to manage, maintain and control, especially for purposes of security because it is a single place to store data. Redundancy in data can be reduced when a database is centralized because there’s only one location to keep all data.

A database that is centralized has numerous disadvantages. A database that is centralized is an example. It has one point of failure. Particularly, if are no fault-tolerance considerations and a hardware issue occurs (for example, a hardware or firmware, or software failure) the entire database data the database will be lost and the work of all users is interrupted. Additionally central databases depend on internet connectivity. The slower connections, the time required to connect to each database is greater. Another issue is the presence of bottlenecks when a central database is experiencing high traffic due to a single site. Additionally, a central database can only provide limited access to data because only one copy the data is stored by the database. Multiple devices cannot access the same piece of data at the same time without creating significant problems or risking the overwriting of existing data. Furthermore, because adatabase storage system has little or no redundancy of data, data that is suddenly lost is extremely difficult to retrieve other than manually retrieving it from backup storage.

Conventionally, a centralized database is limited by low capabilities for searching, insufficient security, and the slowness of transactions. What is required is a solution overcome these significant drawbacks.

Public blockchains don’t scale well It is widely known. The performance of public blockchains does not compare well to conventional transaction systems. There are two key resources that may determine blockchain/hyperledgerperformance: a computing power and a communication bandwidth. Blockchain (BC) Nodes can perform identical or duplicate work on the publicly accessible blockchain. is essentially a waste of computational power. Consensus algorithms run by BC nodes can waste bandwidth. Self-autonomous distributed systems can be compared to a thermodynamics system. Molecular systems are known to spontaneously move into a state of maximum amount of randomness or disorder. Likewise, the blockchain systems tend to move toa least efficient state, without any being controlled. Hyperledgers that are permission-based offer the promise of increased performance via the partitioning process and management–i.e. in essence using some controls. The hyperledger employs job functions to split the work to ensure that no two BC nodes must perform the same task. In particular, the hyperledger has a policy, which allows a minimum number of nodes to perform validation and ordering functions. Partitioning and the policy can help to save power but also reduce the amount of bandwidth used by networks. But, despite some enhancements, the scalability of the hyperledger remains to be a problem. The primary reason for this is a inability to control a mechanism that optimizes system efficiency and performance as needed.

Accordingly, a method/system for efficient control of BC nodes of distributed systems to achieve optimal throughput performance based on feedback controls is sought.

One example includes a processor as well as memory. The processor will be able to connect to an Blockchain network to process transaction propositions through a pluralityofendorsernodes connected to an orderer. It will also get reports from the ordering system to provide information about the performance of the entire group as well as assign rankings to the various nodes and then order the transactions through the multitude according to the ranking assigned to it.

Another embodiment may include the following connection to an blockchain network to process transactions through multiple endorsers nodes that are connected to an orderer receiving reports from the orderer which report the efficiency of the plurality, ranking the plurality the endorsers nodes based on the report, and then ordering transaction proposals to be executed according to the assigned positions by the various endorsers nodes.

A different example embodiment offers a non-transitory computer readable medium consisting of instructions, which when received by a processor trigger the processor to execute one or more of connecting with the blockchain network that is configured to process transaction proposals via an array of endorser nodes connected to an orderer node, receiving reports from the orderer node that reflect what the performance of all endorser nodes, assigning ranking to the plurality of the endorser nodes based on the reports, and directing the transaction plans to be executed by the multitude of endorser nodes in accordance with the assigned rankings.

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